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. 2015 Sep 28;107(12):djv259. doi: 10.1093/jnci/djv259

Table 3.

Predictive model coefficients*

Assay General model (all sites) Colon model Mammary model
Slopes (standard error)
ACF −0.559 (0.184) −0.698 (0.205) −0.031 (0.094)
A427 0.019 (0.060) −0.092 (0.164) −0.205 (0.174)
HFE −0.159 (0.204) −0.015 (0.135) −0.329 (0.255)
JB6 −0.031 (0.095) −0.076 (0.220) −0.010 (0.077)
MMOC −0.288 (0.168) 0.002 (0.073) −0.428 (0.177)
RTE −0.153 (0.139) −0.075 (0.124) −0.111 (0.140)
Intercepts (standard error)
Y=0 0.849 (0.526) 0.410 (0.648) 1.521 (0.668)
Y=1 1.849 (0.554) 1.594 (0.659) 2.891 (0.713)
Y=2 2.538 (0.576) 2.942 (0.702) 4.065 (0.772)

* Slopes and intercepts in the ordinal logistic regression models are presented, where Y is the potential outcome of the animal tumor assay. An example of using the coefficients in the general model is shown in Figure 3. A427 = human lung tumor A427 cell; ACF = aberrant crypt foci; HFE = human foreskin epithelial cell; JB6 = mouse JB6 epidermal cell; MMOC = mouse mammary organ culture; RTE = rat tracheal epithelial cell.